Member of Technical Staff, Applied AI Engineer

About Moonvalley
Moonvalley's mission is to solve Visual Intelligence in the age of generative AI. We are building technology that can tell stories, scale creativity, and understand both the physics and semantics of the world. With Marey, our first high-definition foundation model trained exclusively on licensed data, we are powering the next era of cinematic, commercial, and enterprise-grade creation.

Our team is an unprecedented convergence of talent across industries. Our elite AI scientists from Deepmind, Google, Microsoft, Meta & Snap, have decades of collective experience in machine learning and computational creativity. We have also established the first AI-enabled movie studio in Hollywood, filled with accomplished filmmakers and visionary creative talent. We work with the top producers, actors, and filmmakers in Hollywood as well as creative-driven global brands. So far we've raised over $100M+ from world-class investors including General Catalyst, Bessemer, Khosla Ventures & YCombinator – and we're just getting started.

Job Summary
We're hiring an Integration/Deployment Research Engineer to join our technical team and help translate experimental ML research into robust, scalable systems. This is a highly cross-functional role that sits at the intersection of engineering and research, ensuring that our AI models are reproducible, performant, and ready for real-world use.

You’ll design and maintain the infrastructure needed to train, fine-tune, and deploy our most advanced models. From distributed inference optimization to production-grade experimentation frameworks, your work will accelerate both research velocity and deployment reliability.

What You'Ll Do

• Translate experimental research code into robust, scalable production systems
• Design and maintain ML training, fine-tuning, and deployment pipelines
• Optimize model inference for performance and reliability in distributed/cloud environments
• Collaborate with research scientists to integrate novel techniques into production workflows
• Build tools for experiment tracking, reproducibility, and rapid iteration
• Define and enforce testing, validation, and monitoring best practices for ML models
• Work closely with creative, product, and engineering teams to scale AI systems into production
• Improve infrastructure to support fast-paced experimentation and deployment cycles
• What we're looking for
• BS/MS/PhD in Computer Science, Electrical Engineering, or related field
• 5+ years of professional experience in software engineering, focused on ML systems
• Bonus: Contributions to open-source ML infrastructure projects
• Strong Python skills and experience with production-level codebases
• Deep expertise with ML frameworks (e.g. PyTorch, TensorFlow) and deployment pipelines
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)
• Experience with distributed computing, GPU acceleration, and model optimization techniques
• Background in CI/CD, monitoring, and testing ML systems in production
• Proficiency with ML workflow orchestration tools (e.g. Airflow, Ray, MLflow, Weights & Biases)
• Strong collaboration skills and ability to evolve research prototypes into stable products
• Bonus: Experience in video/image processing pipelines or media content delivery

What we offer (compensation & benefits)

• Competitive salary and equity

• Private Health Coverage

• Pension Contribution

• Unlimited Paid Vacation

• Fully-Distributed, Async-First Culture

• Hardware setup of your choice
• Stipends for phone, internet, and meals

In our team, we approach our work with the dedication similar to Olympic athletes. Anticipate occasional late nights and weekends dedicated to our mission. We understand this level of commitment may not suit everyone, and we openly communicate this expectation.

If you're motivated by deeply technical problems, a seemingly never-ending uphill battle and the opportunity to build (and own) a generational technology company, we can give you what you're looking for.

All business roles at Moonvalley are hybrid positions by default, with some fully remote depending on the job scope. We meet a few times every year, usually in London, UK or North America (LA, Toronto) as a company.

If you're excited about the opportunity to work on cutting-edge AI technology and help shape the future of media and entertainment, we encourage you to apply. We look forward to hearing from you!

The statements contained in this job description reflect general details as necessary to describe the principal functions of this job, the level of knowledge and skill typically required and the scope of responsibility. It should not be considered an all-inclusive listing of work requirements. Individuals may perform other duties as assigned, including work in other functional areas to cover absences, to equalize peak work periods, or to otherwise balance organizational work

Moonvalley AI is proud to be an equal opportunity employer. We are committed to providing accommodations. If you require accommodation, we will work with you to meet your needs.

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